Enterprise Deployment Engineer (AI Workspace Platform)

Why This Role?

This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications. Our esteemed clients include industry leaders like RBC, Dell, and LG CNS.

We are seeking engineers who deeply care about customers and want to work at the cutting edge of Agentic AI.

Note: between 20 - 40% travel anticipated

In this role, you will:

• Lead end-to-end deployment of North in private cloud and on-premises environments, including planning, configuration, testing, and rollout.
• Partner with enterprise IT teams to assess infrastructure, security requirements, and data management practices.
• Experiment at a high velocity and with a high level of quality to engage our customers and ultimately deliver solutions that exceed their expectations
• Design and implement deployment strategies tailored to client needs, ensuring compliance with data privacy and security standards.
• Troubleshoot and resolve deployment-related technical issues, providing timely solutions to minimize downtime.

You may be a good fit if:

• You have experience with and enjoy working directly with customers
• You have experience deploying enterprise software in private/hybrid cloud environments
• You have proven experience administering production Kubernetes clusters and expertise with Helm
• Familiarity with DevOps practices, CI/CD pipelines, and tools like Git for version control
• You have strong expertise in cloud infrastructure (Azure, AWS, GCP), networking, and virtualization
• You excel in fast-paced environments and can execute while priorities and objectives are a moving target
• You have fluent Korean and business-level English